Source : INDIA TODAY NEWS
Artificial intelligence (AI) tools have become a part of the workplace, irrespective of your profession. From coders and software developers to even accountants and marketers, almost everyone is using AI tools like Claude Cowork or Codex. Sometimes, one person uses multiple tools. Now, on the surface, this may help increase productivity, but in the long term, this might have a negative impact on the individual.
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A new study published in the Harvard Business Review, deals with this exact effect. The researchers surveyed 1,488 workers in the US, asking them about their AI usage at work, and the impact it has had on them.
What is AI brain fry?
The researchers noted that many workers found themselves overseeing AI tools beyond their cognitive limits, something that caused “AI brain fry.” AI brain fry essentially refers to mental fatigue caused from excessive use or oversight of AI tools.
The study found that 14 per cent of participants using AI for work reported experiencing this specific kind of cognitive exhaustion.
Participants in the study reported sensations of a “buzzing” feeling or a “mental fog” marked by difficulty focusing, slower decision-making, and headaches.
Previously, a separate study had found that AI was making people work more, with some even using their breaks to give prompts to AI agents to get more work done.
Is AI brain fry like burnout?
AI brain fry is different from traditional burnout, which is usually characterised by emotional exhaustion and negative feelings about work. Instead, AI brain fry is driven by the cognitive load of monitoring and managing multiple AI systems.
That is, AI brain fry is more specific, and may go undetected in standard burnout surveys.
Who is most affected by AI brain fry?
Not all jobs have faced the same impact of managing multiple AI tools. Marketing roles saw the highest rate of AI brain fry at 26 per cent, followed by human resources at 19.3 percent, and operations at 17.9 per cent.
Interestingly, software developers stood fourth on this list at 17.8 per cent, despite arguably having the most impact of AI tools, such as coding agents. At the low end, only 5.6 per cent of legal professionals reported this experience. Leadership and product management roles stood at 8.6 per cent each.
The impact of AI brain fry
Workers who reported high levels of AI oversight expended 14 per cent more mental effort and experienced 12 per cent more mental fatigue compared to those with lower oversight demands.
Personal accounts from the study illustrated the toll of AI brain fry. Engineer Francesco Bonacci wrote, “I end each day exhausted—not from the work itself, but from the managing of the work. Six worktrees open, four half-written features, two ‘quick fixes’ that spawned rabbit holes, and a growing sense that I’m losing the plot entirely.”
Another participant, a senior engineering manager, described, “I had one tool helping me weigh technical decisions, another spitting out drafts and summaries, and I kept bouncing between them, double-checking every little thing.” They added, “I was working harder to manage the tools than to actually solve the problem.”
Employees more likely to quit due to AI brain fry
The business costs of AI brain fry are significant too. Workers experiencing AI brain fry reported 33 per cent more decision fatigue than those who did not, increasing the risks of errors and suboptimal judgements.
The research also found that those affected by AI brain fry made 11 per cent more minor errors and 39 per cent more major errors on average. Employees with high-intensity AI use who experienced AI brain fry were also 39 per cent more likely to intend to quit, compared with those who did not report the phenomenon.
Despite these challenges, not all AI use led to negative outcomes. The study indicates that when AI is used primarily to reduce repetitive and unenjoyable “toil,” burnout scores were 15 per cent lower among those employees. Such participants also reported better engagement and more positive social connections.
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SOURCE :- TIMES OF INDIA
